Ziyue Qiao

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Automatic Instance Selection with Genetic Updating for Few-shot LLM Jailbreak

G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation

PRISM: Partial-label Relational Inference with Spatial and Spectral Cues

LANO: Large Language Models as Active Annotation Agents for Open-World Node Classification

Out-of-Distribution Graph Models Merging

Dynamic Multi-sample Mixup with Gradient Exploration for Open-set Graph Anomaly Detection

ETA: Dual Evidence-Aware Uncertainty Learning for Open-Set Graph Domain Adaptation

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting

IRGCL： Information Refinement Graph Contrastive Learning

Learn to Merge: Meta-Learning for Adaptive Multi-Task Model Merging

Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention

Seg-Agent: Improving Language-Guided Segmentation via Explicit Chain-of-Reasoning Construction

Reward-guided Meta-Prompt Evolving with Reflection for LLM Jailbreaking

stUAI: Uncertainty-Aware Clustering of Spatially Resolved Transcriptomics Data

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction

Rewarding the Journey, Not Just the Destination: A Composite Path and Answer Self-Scoring Reward Mechanism for Test-Time Reinforcement Learning

Court Simulation with Multifaceted Agent Judgment for LLM Jailbreak Evaluation

Test-Time Safety Alignment with Dynamic Intervention for Jailbreak Defense in LLMs

Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening

Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks

Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning

GCAL: Adapting Graph Models to Evolving Domain Shifts

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification

Build Roadmap for Automated Feature Transformation: A Graph-based Reinforcement Learning Approach

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis

SHIFT-RESILIENT DIFFUSIVE IMPUTATION FOR VARIABLE SUBSET FORECASTING